Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 898 |
| Missing cells | 456 |
| Missing cells (%) | 3.9% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 219.4 KiB |
| Average record size in memory | 250.2 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 3 |
nombre has a high cardinality: 898 distinct values | High cardinality |
id is highly correlated with generacion | High correlation |
generacion is highly correlated with id | High correlation |
peso is highly correlated with altura and 3 other fields | High correlation |
altura is highly correlated with peso and 2 other fields | High correlation |
hp is highly correlated with peso and 2 other fields | High correlation |
attack is highly correlated with peso and 3 other fields | High correlation |
defense is highly correlated with peso and 2 other fields | High correlation |
s_attack is highly correlated with s_defense | High correlation |
s_defense is highly correlated with defense and 1 other fields | High correlation |
id is highly correlated with generacion | High correlation |
generacion is highly correlated with id | High correlation |
peso is highly correlated with altura | High correlation |
altura is highly correlated with peso | High correlation |
defense is highly correlated with s_defense | High correlation |
s_defense is highly correlated with defense | High correlation |
id is highly correlated with generacion | High correlation |
generacion is highly correlated with id | High correlation |
peso is highly correlated with altura | High correlation |
altura is highly correlated with peso | High correlation |
id is highly correlated with generacion and 1 other fields | High correlation |
generacion is highly correlated with id and 1 other fields | High correlation |
peso is highly correlated with altura and 3 other fields | High correlation |
altura is highly correlated with peso and 1 other fields | High correlation |
tipo1 is highly correlated with tipo2 | High correlation |
tipo2 is highly correlated with id and 2 other fields | High correlation |
hp is highly correlated with peso and 3 other fields | High correlation |
attack is highly correlated with peso and 3 other fields | High correlation |
defense is highly correlated with peso and 3 other fields | High correlation |
s_attack is highly correlated with attack | High correlation |
s_defense is highly correlated with defense | High correlation |
tipo2 has 456 (50.8%) missing values | Missing |
id is uniformly distributed | Uniform |
nombre is uniformly distributed | Uniform |
id has unique values | Unique |
nombre has unique values | Unique |
Reproduction
| Analysis started | 2022-05-27 17:56:53.434393 |
|---|---|
| Analysis finished | 2022-05-27 17:57:11.261406 |
| Duration | 17.83 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
id
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORMUNIQUE| Distinct | 898 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 449.5 |
| Minimum | 1 |
|---|---|
| Maximum | 898 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 45.85 |
| Q1 | 225.25 |
| median | 449.5 |
| Q3 | 673.75 |
| 95-th percentile | 853.15 |
| Maximum | 898 |
| Range | 897 |
| Interquartile range (IQR) | 448.5 |
Descriptive statistics
| Standard deviation | 259.3745683 |
|---|---|
| Coefficient of variation (CV) | 0.5770290729 |
| Kurtosis | -1.2 |
| Mean | 449.5 |
| Median Absolute Deviation (MAD) | 224.5 |
| Skewness | 0 |
| Sum | 403651 |
| Variance | 67275.16667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.1% |
| 674 | 1 | 0.1% |
| 592 | 1 | 0.1% |
| 593 | 1 | 0.1% |
| 594 | 1 | 0.1% |
| 595 | 1 | 0.1% |
| 596 | 1 | 0.1% |
| 597 | 1 | 0.1% |
| 598 | 1 | 0.1% |
| 599 | 1 | 0.1% |
| Other values (888) | 888 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 898 | 1 | |
| 897 | 1 | |
| 896 | 1 | |
| 895 | 1 | |
| 894 | 1 | |
| 893 | 1 | |
| 892 | 1 | |
| 891 | 1 | |
| 890 | 1 | |
| 889 | 1 |
| Distinct | 898 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.9 KiB |
| bulbasaur | 1 |
|---|---|
| pancham | 1 |
| frillish | 1 |
| jellicent | 1 |
| alomomola | 1 |
| Other values (893) |
Length
| Max length | 21 |
|---|---|
| Median length | 19 |
| Mean length | 7.751670379 |
| Min length | 3 |
Characters and Unicode
| Total characters | 6961 |
|---|---|
| Distinct characters | 30 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 898 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | bulbasaur |
|---|---|
| 2nd row | ivysaur |
| 3rd row | venusaur |
| 4th row | charmander |
| 5th row | charmeleon |
Common Values
| Value | Count | Frequency (%) |
| bulbasaur | 1 | 0.1% |
| pancham | 1 | 0.1% |
| frillish | 1 | 0.1% |
| jellicent | 1 | 0.1% |
| alomomola | 1 | 0.1% |
| joltik | 1 | 0.1% |
| galvantula | 1 | 0.1% |
| ferroseed | 1 | 0.1% |
| ferrothorn | 1 | 0.1% |
| klink | 1 | 0.1% |
| Other values (888) | 888 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| bulbasaur | 1 | 0.1% |
| octillery | 1 | 0.1% |
| mankey | 1 | 0.1% |
| kakuna | 1 | 0.1% |
| venusaur | 1 | 0.1% |
| charmander | 1 | 0.1% |
| charmeleon | 1 | 0.1% |
| charizard | 1 | 0.1% |
| squirtle | 1 | 0.1% |
| wartortle | 1 | 0.1% |
| Other values (888) | 888 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 677 | 9.7% |
| e | 631 | 9.1% |
| o | 572 | 8.2% |
| r | 551 | 7.9% |
| i | 506 | 7.3% |
| l | 450 | 6.5% |
| n | 416 | 6.0% |
| t | 379 | 5.4% |
| s | 352 | 5.1% |
| u | 281 | 4.0% |
| Other values (20) | 2146 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 6913 | |
| Dash Punctuation | 45 | 0.6% |
| Decimal Number | 3 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 677 | 9.8% |
| e | 631 | 9.1% |
| o | 572 | 8.3% |
| r | 551 | 8.0% |
| i | 506 | 7.3% |
| l | 450 | 6.5% |
| n | 416 | 6.0% |
| t | 379 | 5.5% |
| s | 352 | 5.1% |
| u | 281 | 4.1% |
| Other values (16) | 2098 |
Decimal Number
| Value | Count | Frequency (%) |
| 5 | 1 | |
| 0 | 1 | |
| 2 | 1 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 45 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6913 | |
| Common | 48 | 0.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 677 | 9.8% |
| e | 631 | 9.1% |
| o | 572 | 8.3% |
| r | 551 | 8.0% |
| i | 506 | 7.3% |
| l | 450 | 6.5% |
| n | 416 | 6.0% |
| t | 379 | 5.5% |
| s | 352 | 5.1% |
| u | 281 | 4.1% |
| Other values (16) | 2098 |
Common
| Value | Count | Frequency (%) |
| - | 45 | |
| 5 | 1 | 2.1% |
| 0 | 1 | 2.1% |
| 2 | 1 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6961 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 677 | 9.7% |
| e | 631 | 9.1% |
| o | 572 | 8.2% |
| r | 551 | 7.9% |
| i | 506 | 7.3% |
| l | 450 | 6.5% |
| n | 416 | 6.0% |
| t | 379 | 5.4% |
| s | 352 | 5.1% |
| u | 281 | 4.0% |
| Other values (20) | 2146 |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.146993318 |
| Minimum | 1 |
|---|---|
| Maximum | 8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 8 |
| Maximum | 8 |
| Range | 7 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.248397641 |
|---|---|
| Coefficient of variation (CV) | 0.5421753711 |
| Kurtosis | -1.097725726 |
| Mean | 4.146993318 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.1759072518 |
| Sum | 3724 |
| Variance | 5.055291953 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 5 | 156 | |
| 1 | 151 | |
| 3 | 135 | |
| 4 | 107 | |
| 2 | 100 | |
| 8 | 89 | |
| 7 | 88 | |
| 6 | 72 |
| Value | Count | Frequency (%) |
| 1 | 151 | |
| 2 | 100 | |
| 3 | 135 | |
| 4 | 107 | |
| 5 | 156 | |
| 6 | 72 | |
| 7 | 88 | |
| 8 | 89 |
| Value | Count | Frequency (%) |
| 8 | 89 | |
| 7 | 88 | |
| 6 | 72 | |
| 5 | 156 | |
| 4 | 107 | |
| 3 | 135 | |
| 2 | 100 | |
| 1 | 151 |
| Distinct | 439 |
|---|---|
| Distinct (%) | 48.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 639.7004454 |
| Minimum | 1 |
|---|---|
| Maximum | 9999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 12 |
| Q1 | 85 |
| median | 270 |
| Q3 | 650 |
| 95-th percentile | 2372.5 |
| Maximum | 9999 |
| Range | 9998 |
| Interquartile range (IQR) | 565 |
Descriptive statistics
| Standard deviation | 1194.302978 |
|---|---|
| Coefficient of variation (CV) | 1.866972247 |
| Kurtosis | 27.31190121 |
| Mean | 639.7004454 |
| Median Absolute Deviation (MAD) | 214.5 |
| Skewness | 4.682708779 |
| Sum | 574451 |
| Variance | 1426359.604 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10 | 11 | 1.2% |
| 50 | 10 | 1.1% |
| 280 | 10 | 1.1% |
| 120 | 9 | 1.0% |
| 40 | 9 | 1.0% |
| 85 | 9 | 1.0% |
| 300 | 9 | 1.0% |
| 60 | 8 | 0.9% |
| 3 | 8 | 0.9% |
| 20 | 8 | 0.9% |
| Other values (429) | 807 |
| Value | Count | Frequency (%) |
| 1 | 5 | |
| 2 | 2 | 0.2% |
| 3 | 8 | |
| 4 | 2 | 0.2% |
| 5 | 5 | |
| 6 | 3 | 0.3% |
| 7 | 1 | 0.1% |
| 8 | 2 | 0.2% |
| 9 | 1 | 0.1% |
| 10 | 11 |
| Value | Count | Frequency (%) |
| 9999 | 2 | |
| 9500 | 2 | |
| 9200 | 1 | |
| 8880 | 1 | |
| 8200 | 1 | |
| 8000 | 2 | |
| 7500 | 1 | |
| 6830 | 1 | |
| 6500 | 1 | |
| 5500 | 1 |
| Distinct | 53 |
|---|---|
| Distinct (%) | 5.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.8596882 |
| Minimum | 1 |
|---|---|
| Maximum | 200 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 5 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 26.15 |
| Maximum | 200 |
| Range | 199 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 12.34221805 |
|---|---|
| Coefficient of variation (CV) | 1.040686555 |
| Kurtosis | 81.15072709 |
| Mean | 11.8596882 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 6.966495769 |
| Sum | 10650 |
| Variance | 152.3303464 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6 | 80 | 8.9% |
| 4 | 70 | 7.8% |
| 3 | 66 | 7.3% |
| 10 | 64 | 7.1% |
| 5 | 64 | 7.1% |
| 12 | 53 | 5.9% |
| 8 | 49 | 5.5% |
| 15 | 46 | 5.1% |
| 7 | 43 | 4.8% |
| 11 | 39 | 4.3% |
| Other values (43) | 324 |
| Value | Count | Frequency (%) |
| 1 | 6 | 0.7% |
| 2 | 23 | 2.6% |
| 3 | 66 | |
| 4 | 70 | |
| 5 | 64 | |
| 6 | 80 | |
| 7 | 43 | |
| 8 | 49 | |
| 9 | 35 | |
| 10 | 64 |
| Value | Count | Frequency (%) |
| 200 | 1 | |
| 145 | 1 | |
| 92 | 2 | |
| 88 | 1 | |
| 70 | 1 | |
| 65 | 1 | |
| 62 | 1 | |
| 58 | 1 | |
| 55 | 2 | |
| 54 | 1 |
| Distinct | 18 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.7 KiB |
| water | |
|---|---|
| normal | |
| grass | |
| bug | |
| fire | |
| Other values (13) |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 5.265033408 |
| Min length | 3 |
Characters and Unicode
| Total characters | 4728 |
|---|---|
| Distinct characters | 21 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | grass |
|---|---|
| 2nd row | grass |
| 3rd row | grass |
| 4th row | fire |
| 5th row | fire |
Common Values
| Value | Count | Frequency (%) |
| water | 123 | |
| normal | 109 | |
| grass | 86 | 9.6% |
| bug | 75 | 8.4% |
| fire | 58 | 6.5% |
| psychic | 58 | 6.5% |
| rock | 50 | 5.6% |
| electric | 49 | 5.5% |
| dark | 36 | 4.0% |
| fighting | 36 | 4.0% |
| Other values (8) | 218 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| water | 123 | |
| normal | 109 | |
| grass | 86 | 9.6% |
| bug | 75 | 8.4% |
| fire | 58 | 6.5% |
| psychic | 58 | 6.5% |
| rock | 50 | 5.6% |
| electric | 49 | 5.5% |
| fighting | 36 | 4.0% |
| dark | 36 | 4.0% |
| Other values (8) | 218 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 598 | |
| a | 406 | 8.6% |
| e | 367 | 7.8% |
| g | 337 | 7.1% |
| i | 328 | 6.9% |
| s | 326 | 6.9% |
| o | 326 | 6.9% |
| c | 292 | 6.2% |
| t | 269 | 5.7% |
| n | 253 | 5.4% |
| Other values (11) | 1226 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4728 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 598 | |
| a | 406 | 8.6% |
| e | 367 | 7.8% |
| g | 337 | 7.1% |
| i | 328 | 6.9% |
| s | 326 | 6.9% |
| o | 326 | 6.9% |
| c | 292 | 6.2% |
| t | 269 | 5.7% |
| n | 253 | 5.4% |
| Other values (11) | 1226 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4728 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 598 | |
| a | 406 | 8.6% |
| e | 367 | 7.8% |
| g | 337 | 7.1% |
| i | 328 | 6.9% |
| s | 326 | 6.9% |
| o | 326 | 6.9% |
| c | 292 | 6.2% |
| t | 269 | 5.7% |
| n | 253 | 5.4% |
| Other values (11) | 1226 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4728 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 598 | |
| a | 406 | 8.6% |
| e | 367 | 7.8% |
| g | 337 | 7.1% |
| i | 328 | 6.9% |
| s | 326 | 6.9% |
| o | 326 | 6.9% |
| c | 292 | 6.2% |
| t | 269 | 5.7% |
| n | 253 | 5.4% |
| Other values (11) | 1226 |
| Distinct | 18 |
|---|---|
| Distinct (%) | 4.1% |
| Missing | 456 |
| Missing (%) | 50.8% |
| Memory size | 41.4 KiB |
| flying | |
|---|---|
| poison | |
| fairy | |
| ground | |
| psychic | |
| Other values (13) |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 5.597285068 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2474 |
|---|---|
| Distinct characters | 21 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | poison |
|---|---|
| 2nd row | poison |
| 3rd row | poison |
| 4th row | flying |
| 5th row | flying |
Common Values
| Value | Count | Frequency (%) |
| flying | 95 | 10.6% |
| poison | 34 | 3.8% |
| fairy | 33 | 3.7% |
| ground | 32 | 3.6% |
| psychic | 32 | 3.6% |
| dragon | 25 | 2.8% |
| fighting | 25 | 2.8% |
| steel | 24 | 2.7% |
| grass | 21 | 2.3% |
| ghost | 20 | 2.2% |
| Other values (8) | 101 | 11.2% |
| (Missing) | 456 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| flying | 95 | |
| poison | 34 | 7.7% |
| fairy | 33 | 7.5% |
| ground | 32 | 7.2% |
| psychic | 32 | 7.2% |
| dragon | 25 | 5.7% |
| fighting | 25 | 5.7% |
| steel | 24 | 5.4% |
| grass | 21 | 4.8% |
| ghost | 20 | 4.5% |
| Other values (8) | 101 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 278 | |
| g | 252 | 10.2% |
| n | 217 | 8.8% |
| r | 190 | 7.7% |
| o | 166 | 6.7% |
| f | 166 | 6.7% |
| y | 160 | 6.5% |
| s | 152 | 6.1% |
| l | 133 | 5.4% |
| a | 122 | 4.9% |
| Other values (11) | 638 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2474 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 278 | |
| g | 252 | 10.2% |
| n | 217 | 8.8% |
| r | 190 | 7.7% |
| o | 166 | 6.7% |
| f | 166 | 6.7% |
| y | 160 | 6.5% |
| s | 152 | 6.1% |
| l | 133 | 5.4% |
| a | 122 | 4.9% |
| Other values (11) | 638 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2474 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 278 | |
| g | 252 | 10.2% |
| n | 217 | 8.8% |
| r | 190 | 7.7% |
| o | 166 | 6.7% |
| f | 166 | 6.7% |
| y | 160 | 6.5% |
| s | 152 | 6.1% |
| l | 133 | 5.4% |
| a | 122 | 4.9% |
| Other values (11) | 638 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2474 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 278 | |
| g | 252 | 10.2% |
| n | 217 | 8.8% |
| r | 190 | 7.7% |
| o | 166 | 6.7% |
| f | 166 | 6.7% |
| y | 160 | 6.5% |
| s | 152 | 6.1% |
| l | 133 | 5.4% |
| a | 122 | 4.9% |
| Other values (11) | 638 |
| Distinct | 102 |
|---|---|
| Distinct (%) | 11.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 69.0311804 |
| Minimum | 1 |
|---|---|
| Maximum | 255 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 35 |
| Q1 | 50 |
| median | 65 |
| Q3 | 80 |
| 95-th percentile | 110 |
| Maximum | 255 |
| Range | 254 |
| Interquartile range (IQR) | 30 |
Descriptive statistics
| Standard deviation | 26.21370723 |
|---|---|
| Coefficient of variation (CV) | 0.3797372011 |
| Kurtosis | 7.477145754 |
| Mean | 69.0311804 |
| Median Absolute Deviation (MAD) | 15 |
| Skewness | 1.688001125 |
| Sum | 61990 |
| Variance | 687.158447 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 60 | 74 | 8.2% |
| 70 | 64 | 7.1% |
| 50 | 61 | 6.8% |
| 65 | 50 | 5.6% |
| 75 | 46 | 5.1% |
| 40 | 46 | 5.1% |
| 45 | 44 | 4.9% |
| 80 | 43 | 4.8% |
| 55 | 38 | 4.2% |
| 100 | 35 | 3.9% |
| Other values (92) | 397 |
| Value | Count | Frequency (%) |
| 1 | 1 | 0.1% |
| 10 | 1 | 0.1% |
| 20 | 6 | 0.7% |
| 25 | 4 | 0.4% |
| 28 | 2 | 0.2% |
| 30 | 15 | |
| 31 | 1 | 0.1% |
| 35 | 16 | |
| 36 | 1 | 0.1% |
| 37 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 255 | 1 | 0.1% |
| 250 | 1 | 0.1% |
| 223 | 1 | 0.1% |
| 200 | 1 | 0.1% |
| 190 | 1 | 0.1% |
| 170 | 1 | 0.1% |
| 165 | 1 | 0.1% |
| 160 | 1 | 0.1% |
| 150 | 3 | |
| 144 | 1 | 0.1% |
| Distinct | 112 |
|---|---|
| Distinct (%) | 12.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 76.54454343 |
| Minimum | 5 |
|---|---|
| Maximum | 181 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 30 |
| Q1 | 55 |
| median | 75 |
| Q3 | 95 |
| 95-th percentile | 130 |
| Maximum | 181 |
| Range | 176 |
| Interquartile range (IQR) | 40 |
Descriptive statistics
| Standard deviation | 29.66555905 |
|---|---|
| Coefficient of variation (CV) | 0.3875594226 |
| Kurtosis | -0.345890652 |
| Mean | 76.54454343 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | 0.2935451874 |
| Sum | 68737 |
| Variance | 880.0453938 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100 | 42 | 4.7% |
| 60 | 41 | 4.6% |
| 65 | 41 | 4.6% |
| 80 | 41 | 4.6% |
| 85 | 38 | 4.2% |
| 90 | 37 | 4.1% |
| 50 | 37 | 4.1% |
| 55 | 36 | 4.0% |
| 75 | 36 | 4.0% |
| 70 | 34 | 3.8% |
| Other values (102) | 515 |
| Value | Count | Frequency (%) |
| 5 | 2 | 0.2% |
| 10 | 3 | 0.3% |
| 15 | 1 | 0.1% |
| 20 | 10 | |
| 22 | 1 | 0.1% |
| 23 | 1 | 0.1% |
| 24 | 1 | 0.1% |
| 25 | 8 | |
| 27 | 1 | 0.1% |
| 28 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 181 | 1 | 0.1% |
| 165 | 1 | 0.1% |
| 160 | 2 | |
| 150 | 4 | |
| 147 | 1 | 0.1% |
| 145 | 1 | 0.1% |
| 143 | 1 | 0.1% |
| 140 | 4 | |
| 139 | 1 | 0.1% |
| 137 | 2 |
| Distinct | 107 |
|---|---|
| Distinct (%) | 11.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 71.88641425 |
| Minimum | 5 |
|---|---|
| Maximum | 230 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 35 |
| Q1 | 50 |
| median | 67 |
| Q3 | 90 |
| 95-th percentile | 129.15 |
| Maximum | 230 |
| Range | 225 |
| Interquartile range (IQR) | 40 |
Descriptive statistics
| Standard deviation | 29.53618445 |
|---|---|
| Coefficient of variation (CV) | 0.410872969 |
| Kurtosis | 2.167346151 |
| Mean | 71.88641425 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | 1.047886684 |
| Sum | 64554 |
| Variance | 872.386192 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 50 | 60 | 6.7% |
| 60 | 55 | 6.1% |
| 70 | 52 | 5.8% |
| 80 | 45 | 5.0% |
| 40 | 44 | 4.9% |
| 65 | 43 | 4.8% |
| 90 | 41 | 4.6% |
| 55 | 38 | 4.2% |
| 45 | 37 | 4.1% |
| 100 | 35 | 3.9% |
| Other values (97) | 448 |
| Value | Count | Frequency (%) |
| 5 | 2 | 0.2% |
| 10 | 1 | 0.1% |
| 15 | 4 | 0.4% |
| 20 | 5 | 0.6% |
| 23 | 1 | 0.1% |
| 25 | 2 | 0.2% |
| 28 | 2 | 0.2% |
| 30 | 17 | |
| 31 | 1 | 0.1% |
| 32 | 2 | 0.2% |
| Value | Count | Frequency (%) |
| 230 | 1 | 0.1% |
| 211 | 1 | 0.1% |
| 200 | 2 | |
| 184 | 1 | 0.1% |
| 180 | 2 | |
| 168 | 1 | 0.1% |
| 160 | 1 | 0.1% |
| 152 | 1 | 0.1% |
| 150 | 4 | |
| 145 | 3 |
speed
Real number (ℝ≥0)
| Distinct | 117 |
|---|---|
| Distinct (%) | 13.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 65.94988864 |
| Minimum | 5 |
|---|---|
| Maximum | 200 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 25 |
| Q1 | 45 |
| median | 65 |
| Q3 | 85 |
| 95-th percentile | 115 |
| Maximum | 200 |
| Range | 195 |
| Interquartile range (IQR) | 40 |
Descriptive statistics
| Standard deviation | 28.45659616 |
|---|---|
| Coefficient of variation (CV) | 0.4314881609 |
| Kurtosis | 0.09212427274 |
| Mean | 65.94988864 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | 0.4437242026 |
| Sum | 59223 |
| Variance | 809.7778651 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 50 | 51 | 5.7% |
| 60 | 51 | 5.7% |
| 65 | 44 | 4.9% |
| 70 | 43 | 4.8% |
| 30 | 41 | 4.6% |
| 40 | 38 | 4.2% |
| 45 | 36 | 4.0% |
| 80 | 36 | 4.0% |
| 85 | 32 | 3.6% |
| 90 | 32 | 3.6% |
| Other values (107) | 494 |
| Value | Count | Frequency (%) |
| 5 | 3 | 0.3% |
| 10 | 4 | 0.4% |
| 13 | 1 | 0.1% |
| 15 | 12 | |
| 20 | 16 | |
| 22 | 1 | 0.1% |
| 23 | 4 | 0.4% |
| 24 | 1 | 0.1% |
| 25 | 11 | |
| 26 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 200 | 1 | 0.1% |
| 160 | 1 | 0.1% |
| 151 | 1 | 0.1% |
| 150 | 2 | 0.2% |
| 145 | 1 | 0.1% |
| 143 | 1 | 0.1% |
| 142 | 1 | 0.1% |
| 138 | 2 | 0.2% |
| 136 | 1 | 0.1% |
| 130 | 7 |
| Distinct | 105 |
|---|---|
| Distinct (%) | 11.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 69.68151448 |
| Minimum | 10 |
|---|---|
| Maximum | 173 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 10 |
|---|---|
| 5-th percentile | 30 |
| Q1 | 46.25 |
| median | 65 |
| Q3 | 90 |
| 95-th percentile | 125 |
| Maximum | 173 |
| Range | 163 |
| Interquartile range (IQR) | 43.75 |
Descriptive statistics
| Standard deviation | 29.37260938 |
|---|---|
| Coefficient of variation (CV) | 0.4215265641 |
| Kurtosis | -0.1623685193 |
| Mean | 69.68151448 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | 0.5730536741 |
| Sum | 62574 |
| Variance | 862.7501819 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 40 | 63 | 7.0% |
| 60 | 58 | 6.5% |
| 50 | 49 | 5.5% |
| 65 | 47 | 5.2% |
| 55 | 45 | 5.0% |
| 45 | 37 | 4.1% |
| 80 | 36 | 4.0% |
| 70 | 36 | 4.0% |
| 100 | 35 | 3.9% |
| 95 | 33 | 3.7% |
| Other values (95) | 459 |
| Value | Count | Frequency (%) |
| 10 | 3 | 0.3% |
| 15 | 3 | 0.3% |
| 20 | 10 | 1.1% |
| 23 | 1 | 0.1% |
| 24 | 2 | 0.2% |
| 25 | 13 | |
| 27 | 2 | 0.2% |
| 29 | 3 | 0.3% |
| 30 | 29 | |
| 31 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 173 | 1 | 0.1% |
| 154 | 1 | 0.1% |
| 151 | 1 | 0.1% |
| 150 | 7 | |
| 145 | 5 | |
| 137 | 2 | 0.2% |
| 136 | 1 | 0.1% |
| 135 | 5 | |
| 134 | 1 | 0.1% |
| 131 | 2 | 0.2% |
| Distinct | 99 |
|---|---|
| Distinct (%) | 11.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 69.87639198 |
| Minimum | 20 |
|---|---|
| Maximum | 230 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 30.85 |
| Q1 | 50 |
| median | 65 |
| Q3 | 85 |
| 95-th percentile | 120 |
| Maximum | 230 |
| Range | 210 |
| Interquartile range (IQR) | 35 |
Descriptive statistics
| Standard deviation | 27.01214227 |
|---|---|
| Coefficient of variation (CV) | 0.3865703638 |
| Kurtosis | 1.724817562 |
| Mean | 69.87639198 |
| Median Absolute Deviation (MAD) | 17 |
| Skewness | 0.8834179979 |
| Sum | 62749 |
| Variance | 729.65583 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 50 | 64 | 7.1% |
| 60 | 53 | 5.9% |
| 70 | 50 | 5.6% |
| 80 | 49 | 5.5% |
| 55 | 48 | 5.3% |
| 75 | 45 | 5.0% |
| 65 | 45 | 5.0% |
| 90 | 41 | 4.6% |
| 45 | 40 | 4.5% |
| 40 | 39 | 4.3% |
| Other values (89) | 424 |
| Value | Count | Frequency (%) |
| 20 | 6 | 0.7% |
| 23 | 1 | 0.1% |
| 25 | 12 | |
| 30 | 26 | |
| 31 | 3 | 0.3% |
| 32 | 1 | 0.1% |
| 33 | 1 | 0.1% |
| 34 | 1 | 0.1% |
| 35 | 23 | |
| 36 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 230 | 1 | 0.1% |
| 200 | 1 | 0.1% |
| 154 | 3 | |
| 150 | 5 | |
| 142 | 1 | 0.1% |
| 140 | 3 | |
| 138 | 1 | 0.1% |
| 135 | 3 | |
| 132 | 1 | 0.1% |
| 131 | 2 | 0.2% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| id | nombre | generacion | peso | altura | tipo1 | tipo2 | hp | attack | defense | speed | s_attack | s_defense | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | bulbasaur | 1 | 69 | 7 | grass | poison | 45 | 49 | 49 | 45 | 65 | 65 |
| 1 | 2 | ivysaur | 1 | 130 | 10 | grass | poison | 60 | 62 | 63 | 60 | 80 | 80 |
| 2 | 3 | venusaur | 1 | 1000 | 20 | grass | poison | 80 | 82 | 83 | 80 | 100 | 100 |
| 3 | 4 | charmander | 1 | 85 | 6 | fire | None | 39 | 52 | 43 | 65 | 60 | 50 |
| 4 | 5 | charmeleon | 1 | 190 | 11 | fire | None | 58 | 64 | 58 | 80 | 80 | 65 |
| 5 | 6 | charizard | 1 | 905 | 17 | fire | flying | 78 | 84 | 78 | 100 | 109 | 85 |
| 6 | 7 | squirtle | 1 | 90 | 5 | water | None | 44 | 48 | 65 | 43 | 50 | 64 |
| 7 | 8 | wartortle | 1 | 225 | 10 | water | None | 59 | 63 | 80 | 58 | 65 | 80 |
| 8 | 9 | blastoise | 1 | 855 | 16 | water | None | 79 | 83 | 100 | 78 | 85 | 105 |
| 9 | 10 | caterpie | 1 | 29 | 3 | bug | None | 45 | 30 | 35 | 45 | 20 | 20 |
Last rows
| id | nombre | generacion | peso | altura | tipo1 | tipo2 | hp | attack | defense | speed | s_attack | s_defense | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 888 | 889 | zamazenta | 8 | 2100 | 29 | fighting | None | 92 | 130 | 115 | 138 | 80 | 115 |
| 889 | 890 | eternatus | 8 | 9500 | 200 | poison | dragon | 140 | 85 | 95 | 130 | 145 | 95 |
| 890 | 891 | kubfu | 8 | 120 | 6 | fighting | None | 60 | 90 | 60 | 72 | 53 | 50 |
| 891 | 892 | urshifu-single-strike | 8 | 1050 | 19 | fighting | dark | 100 | 130 | 100 | 97 | 63 | 60 |
| 892 | 893 | zarude | 8 | 700 | 18 | dark | grass | 105 | 120 | 105 | 105 | 70 | 95 |
| 893 | 894 | regieleki | 8 | 1450 | 12 | electric | None | 80 | 100 | 50 | 200 | 100 | 50 |
| 894 | 895 | regidrago | 8 | 2000 | 21 | dragon | None | 200 | 100 | 50 | 80 | 100 | 50 |
| 895 | 896 | glastrier | 8 | 8000 | 22 | ice | None | 100 | 145 | 130 | 30 | 65 | 110 |
| 896 | 897 | spectrier | 8 | 445 | 20 | ghost | None | 100 | 65 | 60 | 130 | 145 | 80 |
| 897 | 898 | calyrex | 8 | 77 | 11 | psychic | grass | 100 | 80 | 80 | 80 | 80 | 80 |